( camera could contribute data to the te...)Computer scientists unravel 'language of surgery'

Hager's Johns Hopkins collaborators include David D. Yuh, a cardiac surgeon from the School of Medicine. "It is fascinating to break down the surgical skills we take for granted into their fundamental components," Yuh said. "Hopefully, a better understanding of how we learn to operate will help more efficiently train future surgeons. With the significantly reduced number of hours surgical residents are permitted to be in the hospital, surgical training programs need to streamline their training methods now more than ever. This research work represents a strong effort toward this."

Hager's other collaborators include Sanjeev Khudanpur, a Johns Hopkins assistant professor of electrical and computer engineering, and Izhak Shafran, who was a postdoctoral fellow affiliated with the university's Center for Language and Speech Processing and who is now an assistant professor at the Oregon Graduate Institute.

Hager cautioned that the project is not intended to produce a "Big Brother" system that would critique a surgeon's every move. "We're trying to find ways to help them become better at what they do," he said. "It's not a new idea. In sports and dance, people are studying the mechanics of movement to see what produces the best possible performance. By understanding the underlying structures, we can become better at what we do. I think surgery's no different."